Ding Ma

437 citations
9 papers · 190 · h-index 6

Impact in

    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
    • HER2/EGFR in Cancer Research
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers

Papers in

    • HER2/EGFR in Cancer Research 4
    • Cancer Cells and Metastasis 3
    • Cancer Immunotherapy and Biomarkers 2
    • Advanced Biosensing Techniques and Applications 1

Ding Ma

9 papers receiving 189 citations

Peers

Ding Ma
Comparison fields: 5 of 37
  • Cancer Research 51
  • Oncology 56
  • Radiology, Nuclear Medicine and Imaging 26
  • Biophysics 7
  • Pulmonary and Respiratory Medicine 27
Replace Gyöngyvér Szentmártoni with:
Gyöngyvér Szentmártoni Hungary
Ellen Verschuur Netherlands
Giulia Cursano Italy
Kuikui Jiang China
Ayat Lashen United Kingdom
Chiara Frascarelli Italy
Haoyang Mi United States
Yingquan Ye China
Michele L. Lenoue-Newton United States
Samira Kamrudin United States
Ding Ma relative to Gyöngyvér Szentmártoni Hungary Gyöngyvér Szentmártoni's profile →
Citations per field
00.5×6.4×
Gyöngyvér Szentmártoni · 1×
Citations per year

Countries citing papers authored by Ding Ma

Since Specialization
Citations

This map shows the geographic impact of Ding Ma's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ding Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ding Ma more than expected).

Fields of papers citing papers by Ding Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ding Ma. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ding Ma. The network helps show where Ding Ma may publish in the future.

Co-authors

The 25 scholars most cited alongside Ding Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ding Ma Line = papers co-authored together Ding Ma links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 202362
2 202344
3 202334
4 202425
5 202316
6 20255
7 20222
8 20241
9 20231

About Ding Ma

Ding Ma is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Computational Theory and Mathematics, having authored 9 papers that have together received 190 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (4 papers), Cancer Cells and Metastasis (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Advanced Breast Cancer Therapies (2 papers), Breast Cancer Treatment Studies (1 paper), Immunotherapy and Immune Responses (1 paper) and Advanced Biosensing Techniques and Applications (1 paper). The work is most often cited by research in Cancer Research (51 citations), Oncology (56 citations), Radiology, Nuclear Medicine and Imaging (26 citations), Biophysics (7 citations) and Pulmonary and Respiratory Medicine (27 citations). Ding Ma has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yi‐Zhou Jiang, Zhi‐Ming Shao, Xi Jin, Yi Xiao, Wentao Yang, Lei-Jie Dai, Tong‐Ming Fu, Cai‐Jin Lin, Yi-Fan Zhou and Shen Zhao. Their work appears in journals such as Cancer Research, Nature Communications, Nature Medicine, Nature Genetics and Cancer Biology and Medicine.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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